Linking information and energy-activity-based energy-aware information processing

  • Authors:
  • Xiaolin Hu;Bernard P Zeigler

  • Affiliations:
  • Department of Computer Science, Georgia State University, USA;Arizona Center for Integrative Modeling and Simulation (ACIMS), C4I Center, George Mason University, USA, RTSync Corp., USA

  • Venue:
  • Simulation
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present an activity-based framework that links information and energy. The activity-based framework uses a quantization-based approach for modeling information processing and defines weighted activity to model the energy consumption of information processing. We provide a formal description of this framework and use simulation to show how it enables one to study the interaction between information and energy in energy-aware information processing. An existing discrete event system specification (DEVS)-based simulation environment, DEVS-FIRE, is employed to model wireless sensor nodes for detecting and monitoring wildfires. Simulation experimental results confirm the utility of the activity-based framework to support the analysis and design of energy-aware information processing systems.